2015-03-03T22:51:39ZRobust fault tolerant control framework using uncertain Takagi-Sugeno fuzzy modelshttp://hdl.handle.net/2117/26156
Title: Robust fault tolerant control framework using uncertain Takagi-Sugeno fuzzy models
Authors: Rotondo, Damiano; Nejjari Akhi-Elarab, Fatiha; Puig Cayuela, Vicenç
Abstract: This chapter is concerned with the introduction of a fault tolerant control (FTC) framework using uncertain Takagi-Sugeno
(FS) fuzzy models. Depending on how much information is available about the fault, the framework gives rise to passive FTC,
active FTC without controller reconfiguration and active FTC with controller reconfiguration. The design is performed using
a Linear Matrix Inequality (LMI)-based synthesis that directly takes into account the TS description of the system and its
uncertainties. An example based on a mobile robot is used to show the application of this methodology2015-01-29T11:40:24ZAutomatic validation of flowmeter data in transport water networks: application to the ATLLc water networkhttp://hdl.handle.net/2117/24166
Title: Automatic validation of flowmeter data in transport water networks: application to the ATLLc water network
Authors: García Valverde, Diego; Quevedo Casín, Joseba Jokin; Puig Cayuela, Vicenç; Saludes Closa, Jordi; Espín, Santiago; Roquet, Jaume; Valero, Fernando
Abstract: In this paper, a methodology for data validation and reconstruction of flow meter sensor data in water networks is presented. The raw data validation is inspired on the Spanish norm (AENOR-UNE norm 500540). The methodology consists in assigning a quality level to data. These quality levels are assigned according to the number of tests that data have passed. The methodology takes into account not only spatial models but also temporal models relating the different sensors. The methodology is applied to real-data acquired from the ATLLc Water Network. The results demonstrate the performance of the proposed methodology in detecting errors in measurements and in reconstructing them2014-09-26T06:20:55ZRobot interactive learning through human assistancehttp://hdl.handle.net/2117/23219
Title: Robot interactive learning through human assistance
Authors: Ferrer Mínguez, Gonzalo; Garrell Zulueta, Anais; Villamizar Vergel, Michael Alejandro; Huerta Casado, Iván; Sanfeliu Cortés, Alberto2014-06-13T13:27:59ZDebats via Twitterhttp://hdl.handle.net/2117/23158
Title: Debats via Twitter
Authors: Domingo Peña, Joan; Segura Casanovas, Joan; Durán Moyano, José Luis; Grau Saldes, Antoni; Bolea Monte, Yolanda
Abstract: Es presenta una experiència de debat entre estudiants, tutelat pel professorat. Els
debats a l’aula són una metodologia activa que, malgrat les seves virtuts, habitualment genera poca participació i que està força concentrada en uns quants estudiants. En aquest fet influeixen diversos factors i el resultat global no és sempre
satisfactori. L'experiència que s'ha realitzat consisteix en debats mitjançant una xarxa social al llarg d'uns quants dies cada curs. Amb això s'obté una elevada participació, propera al 100 %, alhora que d'aquest debat deriven situacions que es poden tractar, ja en temps presencial, de forma més completa.
S'ha realitzat aquesta experiència al llarg de dos cursos amb un total d'uns 450 estudiants i el resultat ha estat altament satisfactori. El text que segueix exposa les bases d'aquest sistema de treball així, com els elements per fer-ne l’anàlisi.2014-06-04T12:26:07ZSupervisory control interface design for unmanned aerial vehicles through GEDIS-UAVhttp://hdl.handle.net/2117/20086
Title: Supervisory control interface design for unmanned aerial vehicles through GEDIS-UAV
Authors: Lorite, Salvador; Muñoz, Adolfo; Tornero, Josep; Ponsa Asensio, Pere; Pastor Llorens, Enric
Abstract: This paper reflects the state of art in the field of human factors for
unmanned aerial vehicles. It describes the GEDIS-UAV guide, which is a mod-
ification of the GEDIS guide. It also shows the evaluation of the Sky-eye
project graphical user interface as an example of the methodology. The analy-
sis and evaluation method reflected in this paper may be used to improve the
graphical user interface of any unmanned aerial vehicle.2013-09-03T07:37:34ZPhase-field models in interfacial pattern formation out of equilibriumhttp://hdl.handle.net/2117/19053
Title: Phase-field models in interfacial pattern formation out of equilibrium
Authors: González Cinca, Ricardo; Folch, R.; Benítez Iglesias, Raúl; Ramírez de la Piscina Millán, Laureano; Casademunt, Jaume; Hernández-Machado, A.2013-04-30T10:58:31ZClassification of mental tasks using different spectral estimation methodshttp://hdl.handle.net/2117/17853
Title: Classification of mental tasks using different spectral estimation methods
Authors: Diez, Pablo F.; Laciar, Eric; Mut, Vicente; Ávila, Enrique; Torres Cebrián, Abel2013-02-18T15:29:32ZNetwork-based controlhttp://hdl.handle.net/2117/17519
Title: Network-based control
Authors: Fuertes Armengol, José Mª; Chow, Mo-Yuen; Villa Millaruelo, Ricardo; Gupta, Rachana; Ayza Graells, Jordi2013-01-25T11:54:15ZUniform sampling of rotations for discrete and continuous learning of 2D shape modelshttp://hdl.handle.net/2117/17152
Title: Uniform sampling of rotations for discrete and continuous learning of 2D shape models
Authors: Perez-Sala, Xavier; Igual, Laura; Escalera, Sergio; Angulo Bahón, Cecilio
Abstract: Different methodologies of uniform sampling over the rotation group, SO(3), for building unbiased 2D
shape models from 3D objects are introduced and reviewed in this chapter. State-of-the-art non uniform
sampling approaches are discussed, and uniform sampling methods using Euler angles and quaternions
are introduced. Moreover, since presented work is oriented to model building applications, it is not
limited to general discrete methods to obtain uniform 3D rotations, but also from a continuous point of
view in the case of Procrustes Analysis.2012-12-19T11:23:07ZProgressive design through staged evolutionhttp://hdl.handle.net/2117/13428
Title: Progressive design through staged evolution
Authors: Téllez, Ricardo A.; Angulo Bahón, Cecilio2011-10-05T11:34:37ZPLC Control and Matlab/Simulink Simulations – A Translation Approachhttp://hdl.handle.net/2117/11613
Title: PLC Control and Matlab/Simulink Simulations – A Translation Approach
Authors: Martins, Joao; Lima, Celson; Grau Saldes, Antoni; Martínez García, Herminio2011-03-01T18:03:48ZSupported human autonomy for recovery and enhancement of cognitive and motor abilities using agent technologieshttp://hdl.handle.net/2117/11056
Title: Supported human autonomy for recovery and enhancement of cognitive and motor abilities using agent technologies
Authors: Cortés García, Claudio Ulises; Annicchiarico, Roberta; Urdiales García, Cristina; Barrué Subirana, Cristian; Martínez Velasco, Antonio Benito; Villar, Alfredo; Caltagirone, Carlo
Abstract: The goal of SHARE-it, an EU FP6 funded project, is to develop a scalable, adaptive system of add-ons to sensor and assistive technology so that they can be modularly integrated into an intelligent home environment to enhance the individuals autonomy. The system will be designed to inform and assist the user and his/her caregivers through monitoring and mobility
help. Thus, we plan to contribute to the development of the next generation of
assistive devices for older persons or people with disabilities so that they can
be self-dependent as long as possible. We focus on add-ons to be compatible with existing technologies and to achieve an easier integration into existing systems.We also aim at adaptive systems as transparent and, consequently, as easy to use to the person as possible. Scalability is meant to include or remove devices from the system in a simple, intuitive way. SHARE-it will provide an Agent-based Intelligent Decision Support System to aid the elders.2011-01-17T10:32:59ZLocal boosted features for pedestrian detectionhttp://hdl.handle.net/2117/9181
Title: Local boosted features for pedestrian detection
Authors: Villamizar Vergel, Michael Alejandro; Sanfeliu Cortés, Alberto; Andrade-Cetto, Juan
Abstract: The present paper addresses pedestrian detection using local boosted features that are learned from a small set of training images. Our contribution is to use two boosting steps. The first one learns discriminant local features corresponding to pedestrian parts and the second one selects and combines these boosted features into a robust class classifier. In contrast of other works, our features are based on local differences over Histograms of Oriented Gradients (HoGs). Experiments carried out to a public dataset of pedestrian images show good performance with high classification rates2010-09-29T17:15:00ZUnidimensional multiscale local features for object detection under rotation and mild occlusionshttp://hdl.handle.net/2117/2683
Title: Unidimensional multiscale local features for object detection under rotation and mild occlusions
Authors: Villamizar Vergel, Michael Alejandro; Sanfeliu Cortés, Alberto; Andrade-Cetto, Juan
Abstract: In this article, scale and orientation invariant object detection is performed by matching intensity level histograms. Unlike other global measurement methods, the present one uses a local feature description that allows small changes in the histogram signature, giving robustness to partial occlusions. Local features over the object histogram are extracted during a Boosting learning phase, selecting the most discriminant features within a training histogram image set. The Integral Histogram has been used to compute local histograms in constant time.2009-03-13T09:21:10ZRobust color contour object detection invariant to shadowshttp://hdl.handle.net/2117/2682
Title: Robust color contour object detection invariant to shadows
Authors: Scandaliaris, Jorge; Villamizar Vergel, Michael Alejandro; Andrade-Cetto, Juan; Sanfeliu Cortés, Alberto
Abstract: In this work a new robust color and contour based object detection method in images with varying shadows is presented. The method relies on a physics-based contour detector that emphasizes material changes and a contour-based boosted classifier. The method has been tested in a sequence of outdoor color images presenting varying shadows using two classifiers, one that learns contour object features from a simple gradient detector, and another that learns from the photometric invariant contour detector. It is shown that the detection performance of the classifier trained with the photometric invariant detector is significantly higher than that of the classifier trained with gradient detector.2009-03-13T09:21:01Z